Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AB30975B420183A83038FCD66E06B1DF1939192CB42E895E3F927F277C7E65BC4199A |
|
CONTENT
ssdeep
|
1536:yCgG5idY647OoJRB+tVw4mvobAIkeYAr9AjxZxmF6yHMpF8+L:y5G5iduB+tVw4mvaRkDn5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e82dc296d3b93932 |
|
VISUAL
aHash
|
ffd3c3c3e7dffff8 |
|
VISUAL
dHash
|
863717120f162109 |
|
VISUAL
wHash
|
7a8381c3c3c3dcf8 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
863717120f162109,41100cb2b2320c10 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 237 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.